Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power
For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper stud...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/6139086 |
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| author | Zhongfu Tan Qingkun Tan Yuwei Wang |
| author_facet | Zhongfu Tan Qingkun Tan Yuwei Wang |
| author_sort | Zhongfu Tan |
| collection | DOAJ |
| description | For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid. |
| format | Article |
| id | doaj-art-4b1e1538cdac49689202b7979cae79d3 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-4b1e1538cdac49689202b7979cae79d32025-02-03T05:49:44ZengWileyJournal of Engineering2314-49042314-49122018-01-01201810.1155/2018/61390866139086Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind PowerZhongfu Tan0Qingkun Tan1Yuwei Wang2School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaFor the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid.http://dx.doi.org/10.1155/2018/6139086 |
| spellingShingle | Zhongfu Tan Qingkun Tan Yuwei Wang Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power Journal of Engineering |
| title | Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power |
| title_full | Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power |
| title_fullStr | Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power |
| title_full_unstemmed | Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power |
| title_short | Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power |
| title_sort | bidding strategy of virtual power plant with energy storage power station and photovoltaic and wind power |
| url | http://dx.doi.org/10.1155/2018/6139086 |
| work_keys_str_mv | AT zhongfutan biddingstrategyofvirtualpowerplantwithenergystoragepowerstationandphotovoltaicandwindpower AT qingkuntan biddingstrategyofvirtualpowerplantwithenergystoragepowerstationandphotovoltaicandwindpower AT yuweiwang biddingstrategyofvirtualpowerplantwithenergystoragepowerstationandphotovoltaicandwindpower |